AI Pilot & POC –
Validate Before You Scale
An AI pilot is a structured, time-boxed experiment (2-6 weeks) that validates an AI use case with your real data, users, and workflows. Alice Labs delivers production-ready AI pilots with measurable KPIs—giving you evidence-based confidence to invest. 85% of our pilots proceed to full-scale implementation.
What is an AI pilot?
An AI pilot is a 4-8 week engagement that builds and tests one prioritised AI use case in a real production environment, against pre-agreed KPIs. The pilot validates technical feasibility, ROI and user adoption before committing to full-scale rollout — typically protecting against 60-80% AI failure rates from skipping validation.
Part of the team that delivers
An experienced team with broad AI and tech backgrounds from leading companies
Linus
Co-founder & AI Consultant
Alice
CEO & Co-founder
Jens
AI Consultant
Eric
Co-founder & AI Consultant
Lisa
Project Lead & Implementation
Why enterprises pick Alice Labs
Production-grade AI delivery, EU-native, senior team
Results From Our Clients
Verified outcomes from completed AI implementations
AI Agent for Order Management
Ljusgårda (Supernormal Greens)
- 83% cost reduction
- 70-80% automation
- 6-week implementation
Document Automation: 60h → 3min
Public Sector
- 95% time reduction
- 60h → 3min/doc
- 1000+ hours/month saved
AI-Driven Content Production
Media Company
- $100K first year
- $40K/month recurring
- 12-month build-up
Ready to see similar results?
Book a free discovery call - we'll map your highest-impact AI opportunities.
of pilots proceed to production
weeks to validated results
average ROI from pilot phase
AI pilots delivered
Why Start with a Pilot?
The fastest way to prove AI value is to test it—with real data, real users, and real outcomes
De-Risk Investment
Validate feasibility and ROI before committing to full-scale implementation. A €30K pilot can de-risk a €300K initiative.
Evidence-Based Decisions
Replace assumptions with data. Measure actual time savings, accuracy improvements, and cost reductions with your own workflows.
Fast Time to Value
See tangible results in 2-6 weeks, not months. Our pilots are designed for speed without sacrificing production quality.
Our Pilot Process
A proven 4-phase methodology that takes you from idea to validated results
Scope & Define
Define success criteria, KPIs, data requirements, and timeline. Align stakeholders on what 'success' looks like.
Build & Integrate
Develop the AI solution with production-grade architecture. Connect to your data sources and existing systems.
Test & Validate
Run the pilot with real users and real data. Collect performance metrics and user feedback continuously.
Measure & Recommend
Analyze results against KPIs. Deliver comprehensive report with ROI analysis and scaling roadmap.
Popular AI Pilot Use Cases
Proven pilots across industries—each designed for measurable impact in weeks
Document Automation
Automate document processing, extraction, and classification. Typical result: 70% time reduction in document handling.
AI Customer Service
Deploy an AI assistant handling Tier 1 inquiries. Typical result: 40% reduction in ticket volume within 4 weeks.
Predictive Analytics
Build forecasting models for demand, churn, or maintenance. Typical result: 25% improvement in prediction accuracy.
Content Generation
AI-powered content creation workflows for marketing, reporting, or documentation. Typical result: 5× faster content production.
Process Automation
Intelligent workflow automation combining AI with existing systems. Typical result: 60% reduction in manual processing.
Quality Assurance
AI-driven quality inspection and anomaly detection. Typical result: 90% defect detection rate with 50% fewer false positives.
What You Get
Not Sure Where to Start?
If you're not yet sure which use case to pilot, our AI Discovery Sprint helps you map opportunities and prioritize. Already have a strategy? Go straight to pilot.
Let's discuss your AI journey
Our team will help you prioritize use cases and build a concrete roadmap.
What Our Clients Say
"We decided early on to embrace AI technology and needed a partner who could explore opportunities, propose solutions, lead change management, and build them. With Alice, we got everything in one place and have implemented multiple solutions that increased efficiency so significantly that an entire team could be reallocated."
Andreas Wilhelmsson
CEO & Co-founder
Supernormal Greens / Ljusgårda
"Alice Labs' AI training gave us all a real aha-moment, whether we were completely new to the field or experienced! The training contained a perfect balance between theory and practice. We have definitely become more efficient at work!"
Åsa Nordin
IT Manager
Trollhättan Energi
"The collaboration with Alice Labs has been easy, educational, and incredibly supportive. We engaged them to improve our processes and create more efficiency in the team, and the result truly exceeded expectations. Through their guidance, we've gained better structure, faster workflows, and more time for what actually creates results."
Frida
Partner Manager
Bruce Studios
"Fast, professional, and wonderful people. Find out for yourself <3"
Johannes Hansen
Founder
Johannes Hansen AB
Frequently Asked Questions
Everything you need to know about AI pilots and proofs of concept
What is an AI pilot project?
An AI pilot is a controlled, time-boxed experiment (typically 2-6 weeks) designed to validate an AI use case with real data and real users before full-scale investment. It proves feasibility, measures ROI, and identifies risks—giving you evidence-based confidence to scale.
How long does an AI pilot typically take?
Most AI pilots run 2-6 weeks depending on complexity. Simple automation pilots (document processing, chatbots) can deliver results in 2-3 weeks. More complex pilots involving custom models or multi-system integration typically need 4-6 weeks.
What's the difference between an AI pilot and a POC?
A proof of concept (POC) validates technical feasibility—'can we build this?' A pilot validates business value—'should we build this?' Our engagements combine both: we prove the technology works AND measure real business impact with your data and users.
How much does an AI pilot cost?
AI pilot costs vary based on scope and complexity, typically ranging from €15,000-€50,000. This includes scoping, development, testing with real data, user validation, and a comprehensive results report with scaling recommendations. The investment is designed to de-risk much larger AI initiatives.
What happens after the pilot succeeds?
After a successful pilot, we deliver a scaling roadmap covering architecture, infrastructure, team requirements, and timeline. Most clients move directly to our AI Implementation service for production deployment. We've designed the pilot deliverables to make this transition seamless.
What if the pilot fails?
A 'failed' pilot is still valuable—it saves you from investing heavily in the wrong direction. We always design pilots with clear success criteria. If results don't meet targets, we provide analysis of why and recommendations for alternative approaches. About 15% of pilots pivot to different use cases that ultimately deliver stronger results.
Can we run multiple AI pilots simultaneously?
Yes, running 2-3 parallel pilots is common for organizations exploring AI broadly. We recommend starting with one pilot to establish methodology, then scaling to parallel tracks. This approach lets you compare use cases and allocate resources to the highest-impact opportunities.
What data do we need to provide for an AI pilot?
Data requirements depend on the use case. For document automation, we typically need 50-200 sample documents. For predictive models, 6-12 months of historical data. We assess data quality and availability during our scoping phase and can work with anonymized data if needed.
Do you build the pilot with production-ready code?
Yes. Unlike throwaway prototypes, our pilots are built on production-grade architecture. This means successful pilots can be scaled without rebuilding from scratch—saving months of development time and reducing the total cost of your AI initiative.
How do you measure pilot success?
We define measurable KPIs before the pilot starts—time savings, accuracy improvements, cost reduction, user adoption rates, or revenue impact. We baseline current performance, then measure against these targets with real data. Every pilot includes a comprehensive results report with quantified outcomes.
Have more questions? Let's talk.
No commitment - just a conversation about what AI can do for your business.
Ready to Validate Your AI Use Case?
Start with a scoping session to define your pilot parameters
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